Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...

Abstract: This article formulates a predefined-time multiagent approach to distributed nonconvex constrained optimization and tackles the challenges caused by the nonconvexity and nonlinearly coupled ...